Detection of Skin Diseases from Dermoscopy Image Using the combination of Convolutional Neural Network and One-versus-All-Reference-Cited by-同舟云学术

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Detection of Skin Diseases from Dermoscopy Image Using the combination of Convolutional Neural Network and One-versus-All

Published:2020 Issue:1 Volume:2 Page:80-97
ISSN:2642-2859
Container-title:Journal of Artificial Intelligence and Systems
language:
Short-container-title:AIS

Author:

Polat Kemal, ,Onur Koc Kaan,

Publisher

Institute of Electronics and Computer

Subject

General Medicine

Cited by 76 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Innovative CBR-Enhanced Approach for Skin Cancer Classification using Cascade Forest Model and Convolutional Neural Network with Attention Mechanism;EAI Endorsed Transactions on Pervasive Health and Technology;2024-07-18

2. MSMA: A multi-stage and multi-attention algorithm for the classification of multimodal skin lesions;Biomedical Signal Processing and Control;2024-07

3. One-vs-All Semi-Automatic Labeling Tool for Semantic Segmentation in Autonomous Driving;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Revolutionizing Dermatology: A Comprehensive Survey of AI-Enhanced Early Skin Cancer Diagnosis;Archives of Computational Methods in Engineering;2024-04-23

5. Pixel Based Multi Class Skin Cancer Classification using Convolutional Neural Network;International Journal of Advanced Research in Science, Communication and Technology;2024-04-21

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